Translation
Transformers
PyTorch
TensorFlow
JAX
Rust
Safetensors
mbart
text2text-generation
mbart-50
Instructions to use facebook/mbart-large-50-many-to-many-mmt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/mbart-large-50-many-to-many-mmt with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "translation" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("translation", model="facebook/mbart-large-50-many-to-many-mmt")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("facebook/mbart-large-50-many-to-many-mmt") model = AutoModelForSeq2SeqLM.from_pretrained("facebook/mbart-large-50-many-to-many-mmt") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 071a7941b1b27e073cb9812efbba7df3437167f4f901ae3ba14c2b183a2b3bb0
- Size of remote file:
- 2.44 GB
- SHA256:
- f38a4833c93d91eb4cbc903513d70920a8307e1c8eae9d2b0a34b47b9434664d
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